Now in Public Beta

Your users are burning through your AI budget. And you don't even know it.

Set per-user token limits across OpenAI, Anthropic and Gemini. Get real-time alerts before any single user blows through your budget. Integrates in 3 lines of code.

3
Lines to integrate
3
LLM Providers
<1ms
Check latency

Works with the tools you already use

OpenAIAnthropicGoogleAzureMistralCohere

Features

Everything you need to control per-user AI spending

Stop guessing which users cost you the most. Know exactly where every token goes.

Per-User Budgets

Set token limits and elastic caps for each user. Get warnings before they exceed, auto-reject when they do.

Real-Time Dashboard

See token consumption as it happens. Usage trends, top users, per-model breakdowns — all in one view.

Multi-Provider Support

One SDK for OpenAI, Anthropic and Google Gemini. Unified budget tracking regardless of which model you call.

3-Line Integration

Drop-in SDK wraps your existing OpenAI/Anthropic/Gemini calls. No code rewrite, no infrastructure changes.

Soft & Hard Limits

Two-tier system: warn users when they hit the soft limit, block requests when they hit the hard cap.

Redis-Cached Checks

Budget enforcement runs through Redis with sub-millisecond latency. Zero impact on your LLM request speed.

2.4B+

Tokens Tracked

1,200+

Teams

99.99%

Uptime

Integration

Replace openai.chat() with krato.chat()

The Krato SDK wraps your LLM provider calls transparently. Before each request it checks the user's budget, after each request it reports token usage. Your app code stays almost identical.

1

Set a budget in the dashboard

Configure token limits and cap per user — takes 10 seconds.

2

Swap in the SDK

Initialize Krato with your project key and provider. Call krato.chat() instead of openai.chat().

3

Ship it

Budget enforcement and usage tracking happen automatically. Monitor everything from the dashboard.

app.ts
import { Krato } from "@krato/sdk"
import OpenAI from "openai"

const krato = new Krato({
  provider: "openai",
  projectKey: process.env.KRATO_KEY,
  apiKey: process.env.OPENAI_API_KEY,
})

// That's it. Budget checks happen automatically.
const { result, usage, budgetStatus } =
  await krato.chat("user_123", "gpt-4o", messages)

Compare

Build it yourself? Or ship today?

The real cost of building per-user token control in-house

Build YourselfUse Krato
Time to implement2-3 months5 minutes
Engineering cost$30K-80KFree (Beta)
Multi-provider supportBuild each adapterBuilt-in
Real-time dashboardBuild from scratchIncluded
Redis caching layerDesign & implementIncluded
Ongoing maintenanceYour teamWe handle it

Pricing

Simple, transparent pricing

Free during Public Beta — no credit card required

Free during Public Beta — no credit card required
Current

Free

$0/mo
  • 100K tokens/mo
  • 3 projects
  • Community support
  • All providers
Start Free
Coming Soon

Pro

$29/mo
  • 10M tokens/mo
  • Unlimited projects
  • Priority support
  • Custom alerts
  • API access
Coming Soon

Enterprise

Custom
  • Unlimited tokens
  • SSO / SAML
  • Dedicated support
  • SLA guarantee
  • Custom deployment

Testimonials

Loved by developers

Krato saved us from a $12K surprise OpenAI bill. Setup took literally 5 minutes.

Sarah Chen

CTO @ TechFlow

We were building our own token tracking system. Then we found Krato and deleted 3 months of code.

Marcus Rodriguez

Lead Engineer @ DataPipe

The per-user budget feature is exactly what we needed for our multi-tenant SaaS.

Yuki Tanaka

Founder @ AIStack

Ready to know exactly what each user costs you?

Set up Krato in under 5 minutes. Free during beta — no credit card required.

Get Started Free